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Advisory Data science Engineer @ IBM

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 Advisory Data science Engineer

Job Description

We are seeking highly motivated Data science engineer to be part of Hardware team. Join a great team of engineering professionals who are involved in data analysis for IBMs chip design team. Required education
Bachelor's Degree Preferred education
Master's Degree Required technical and professional expertise
  • Strong foundation in probability, statistics, hypothesis testing, and experimental design.
  • Hands-on experience in creating plots and charts to find out insights, patterns, trends and outliers .
  • Proficiency inPythonand libraries like Pandas, NumPy, SciPy, scikit-learn, and matplotlib/plotly.

  • Hnads - on experience in SQL, Statistics, Plotting (python or tools like tableau, powerBI), ML
  • Experience in collaborating with design and reliability hardware teams.
  • Knowledge of SQL to query large volume of wafer/chip level data and ability to manage large-scale structured/unstructured datasets.
  • Experience in building data pipelines and dashboards for monitoring of test results and performance metrics and communicate findings through clear visualizations, reports, and presentations .
  • Demonstated understanding to connect data insights to yield, defects, and performance factors
  • Knowledge of Machine leaning for yield prediction, defect detection, and performance correlation and yied improevement
  • Proficient analytical skills for problem-solving
  • Excellent team player and good communication skills
  • Preferred technical and professional experience Knowledge in VLSI domain and concepts is an advantageUnderstand of basic concepts in semiconductor industry and hardware test data analysis.

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Data Science & Machine Learning
    Role: Machine Learning Engineer
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Bengaluru

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    Keyskills:   scipy python scikit-learn numpy pandas data analysis natural language processing neural networks power bi machine learning artificial intelligence sql deep learning tableau tensorflow data science matplotlib keras vlsi ml statistics

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